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Introduction to probability and statistics for engineers and scientists / Sheldon M. Ross.

By: Material type: TextTextPublication details: Amsterdam : Elsevier, 2014.Edition: 5th edDescription: xv, 670 p. : ill. (some color). 25 cmISBN:
  • 9780123948113
Subject(s): DDC classification:
  • 519.2 23 R826
Contents:
1. Introduction to statistics-- 2. Descriptive statistics-- 3. Elements of probability-- 4. Random variables and expectation-- 5. Special random variables-- 6. Distributions of sampling statistics-- 7. Parameter estimation-- 8. Hypothesis testing-- 9. Regression-- 10. Analysis of variance-- 11. Goodness of fit tests and categorical data analysis-- 12. Nonparametric hypothesis tests-- 13. Quality control- 14. Life testing-- 15. Simulation, bootstrap statistical methods, and permutation tests-- Appendix to tables-- Index.
Summary: Introduction to Probability and Statistics for Engineers and Scientists provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 519.5 R826 (Browse shelf(Opens below)) Available 135673
Total holds: 0

Includes index.

1. Introduction to statistics--
2. Descriptive statistics--
3. Elements of probability--
4. Random variables and expectation--
5. Special random variables--
6. Distributions of sampling statistics--
7. Parameter estimation--
8. Hypothesis testing--
9. Regression--
10. Analysis of variance--
11. Goodness of fit tests and categorical data analysis--
12. Nonparametric hypothesis tests--
13. Quality control-
14. Life testing--
15. Simulation, bootstrap statistical methods, and permutation tests--
Appendix to tables--
Index.

Introduction to Probability and Statistics for Engineers and Scientists provides a superior introduction to applied probability and statistics for engineering or science majors. Ross emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists. Real data sets are incorporated in a wide variety of exercises and examples throughout the book, and this emphasis on data motivates the probability coverage

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